The work solves the problem of classifying nanocomposites using computer vision technology in conditions where microscopy images obtained for training cannot be used centrally for training for various confidentiality ...
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With the development of the Internet of Things (IoT), people's lives have become more intelligent. However, the proliferation of numerous small devices has also introduced serious risks to network security. Networ...
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Multi-domain networks, consisting of interconnected management domains with distinct control mechanisms, introduce unique cybersecurity challenges that are often overlooked in current research. This paper addresses th...
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Sidechain technology aids in building lightweight and rapid-response blockchain services in resource limited Internet of Things (IoT) environments, yet the low trust model of sidechains is a concern. The restaking mec...
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The swift progression of deepfake-generating technologies has elicited much apprehension about their potential misuse in digital media, necessitating the development of efficient detection methods. This research aims ...
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Deep learning, a cutting-edge approach of machine learning, surpasses classical machine learning when it comes to detecting particular structures in complicated, high-dimensional data in the area of computer vision. T...
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Optimal position of Distributed Generation has been obtained in an unbalanced radial distribution system with lateral branches where loads are probabilistically varying in nature. Here four single objective indices li...
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In the application of computer vision recognition, the recognition objects of some tissue-like structures present highly complex and variable characteristics. For this practical usage scenario, traditional classificat...
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In computer science and engineering (CSE) education, project-based learning (PBL) has become a highly effective pedagogical strategy for encouraging students' teamwork, creativity, and problemsolving abilities in ...
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ISBN:
(纸本)9798400709111
In computer science and engineering (CSE) education, project-based learning (PBL) has become a highly effective pedagogical strategy for encouraging students' teamwork, creativity, and problemsolving abilities in the real world. The current trends and difficulties with PBL implementation in computer science and engineering courses are thoroughly examined in this research. Within the context of computer science and engineering education, the evolution and integration of Problem-Based Learning (PBL) is thoroughly analyzed. Emphasis is placed on its numerous advantages such as enhanced critical thinking, elevated student engagement, and the development of essential practical skills beneficial for a successful career in the field. Thus, a number of trends-including the growing demand for industry-relevant skills, the shift towards interdisciplinary collaboration, and the growing significance of open-source contributions in academic and professional settings-have an impact on the adoption of PBL. Consideration is also given to how technology, like virtual and augmented reality, bolsters immersive and group PBL experiences. However, a number of obstacles prevent the widespread adoption and successful application of PBL. These challenges include faculty reluctance because a change in conventional teaching methods is necessary, a lack of infrastructure and resources, difficulties with assessment and evaluation, and the potential for an unequal distribution of effort among students. With an emphasis on faculty development, resource allocation, and the creation of efficient evaluation strategies, I offer solutions to these issues. Finally, I discuss PBL's future directions in computer science and engineering education, highlighting the need for ongoing development and adjustment to the always-changing technological environment. At the same time that I acknowledge the persistent difficulties that educators and institutions continue to face, I also emphasize the value of PBL in
Two key factors in manufacturing organisations are cost savings and productivity. technology reduces workloads, boosts productivity, and lessens financial strain. High levels of automation and technology-driven proces...
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